Scoliosis school screening of 139,922 multi-ethnic children in Dali, southwestern China: A large epidemiological study.

Scoliosis school screening of 139,922 multi-ethnic children in Dali, southwestern China: A large epidemiological study.
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大理139922名多民族儿童脊柱侧凸学校筛查:一项大型流行病学研究。

DOI:
10.1016/j.isci.2023.108305
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发表时间:
2023-12-15
期刊:
影响因子:
5.8
通讯作者:
Li, Quan
Li, Quan
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Zhou, Jin;Wang, Yingsong;Xie, Jingming;Zhao, Zhi;Shi, Zhiyue;Li, Tao;Zhang, Ying;Zhang, Li;Zhu, Tingbiao;Zhao, Wei;Yang, Xiaochen;Bi, Ni;Li, Quan

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特发性脊柱侧凸(IS)主要影响青少年,需要早期干预以防止畸形。学校脊柱侧弯筛查有助于儿童脊柱弯曲的早期诊断和预测。在大理白族自治州,对来自8个县18个民族的139,922名6岁至18岁的儿童进行了SSS调查。一个医疗队进行了检查,亚当测试和躯干旋转角度(ATR)。疑似脊柱侧弯的总患病率为2.37%,其中女孩(2.5%)比男孩(2.0%)受影响更大。使用套索的惩罚回归分析,进行变量选择过程,确定最终的回归模型。调整后的多因素回归分析模型显示,年龄、性别、身高、BMI、海拔高度、纬度、民族、县均为可疑脊柱侧弯的影响因素。这些结果为IS的预防性和以人为中心的医疗干预提供了大量信息和建议。对139,922名多民族学生的脊柱侧弯筛查进行了大规模流行病学研究,运用套索回归分析对相关变量进行了有效筛选,发现不同民族之间患病率存在显著差异,县、海拔、纬度也是影响因素健康科学;医学;可观察实体
Idiopathic scoliosis (IS) primarily impacts adolescents and requires early intervention to prevent deformity. Early diagnosis and prediction of spine curvature in children could be aided by school scoliosis screening (SSS). In the Dali Bai Autonomous Prefecture, SSS, including 139,922 children from 18 ethnic groups in 8 counties ranging in age from 6 to 18, was carried out. A medical team conducted the screening with inspection, Adam’s test, and angles of trunk rotation (ATR). The overall prevalence of suspected scoliosis was 2.37%, with girls (2.5%) more affected than boys (2.0%). Using penalized regression analysis of LASSO, the variable-selection process was conducted to determine the final regression model. The results showed that age, gender, height, BMI, altitude, latitude, ethnicity, and county were all influencing variables for suspected scoliosis, according to the adjusted final model of multi-factor regression analysis. These results provide substantial information and suggestions for preventative and person-centered healthcare interventions for IS. A large epidemiological study on scoliosis screening of 139,922 multi-ethnic students LASSO regression analysis was used to effectively select relevant variables Significant disparities in prevalence were found among different ethnic groups County, altitude, and latitude were also found to be the influencing factors Health sciences; Medicine; Observable entity
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